cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 hep-ph - 高能物理现象学 math.CO - 组合数学 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-fin.PM - 投资组合管理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review
    • [cs.AI]An Autonomous Free Airspace En-route Controller using Deep Reinforcement Learning Techniques
    • [cs.AI]Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints
    • [cs.AI]Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
    • [cs.AI]On Symbolically Encoding the Behavior of Random Forests
    • [cs.AI]Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games
    • [cs.AI]Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks
    • [cs.CL]Bayesian multilingual topic model for zero-shot cross-lingual topic identification
    • [cs.CL]Exploration and Discovery of the COVID-19 Literature through Semantic Visualization
    • [cs.CL]Generating Informative Dialogue Responses with Keywords-Guided Networks
    • [cs.CL]Improving Event Detection using Contextual Word and Sentence Embeddings
    • [cs.CL]Language-agnostic BERT Sentence Embedding
    • [cs.CL]On-The-Fly Information Retrieval Augmentation for Language Models
    • [cs.CL]Playing with Words at the National Library of Sweden — Making a Swedish BERT
    • [cs.CL]Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer
    • [cs.CL]TICO-19: the Translation Initiative for Covid-19
    • [cs.CR]A New Theoretical Framework of Pyramid Markov Processes for Blockchain Selfish Mining
    • [cs.CR]Online publication of court records: circumventing the privacy-transparency trade-off
    • [cs.CR]Privacy Threats Against Federated Matrix Factorization
    • [cs.CV]A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
    • [cs.CV]A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
    • [cs.CV]Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
    • [cs.CV]Balanced Symmetric Cross Entropy for Large Scale Imbalanced and Noisy Data
    • [cs.CV]Collaborative Learning for Faster StyleGAN Embedding
    • [cs.CV]Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach
    • [cs.CV]Deep Fence Estimation using Stereo Guidance and Adversarial Learning
    • [cs.CV]Deep learning for scene recognition from visual data: a survey
    • [cs.CV]Domain Adaptation without Source Data
    • [cs.CV]Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
    • [cs.CV]End-to-end Interpretable Learning of Non-blind Image Deblurring
    • [cs.CV]Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
    • [cs.CV]Explainable Deep One-Class Classification
    • [cs.CV]Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations
    • [cs.CV]Ground Truth Free Denoising by Optimal Transport
    • [cs.CV]Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking
    • [cs.CV]Improving auto-encoder novelty detection using channel attention and entropy minimization
    • [cs.CV]Interactive Knowledge Distillation
    • [cs.CV]Joint Frequency- and Image-Space Learning for Fourier Imaging
    • [cs.CV]LOOC: Localize Overlapping Objects with Count Supervision
    • [cs.CV]Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
    • [cs.CV]Learning Orientation Distributions for Object Pose Estimation
    • [cs.CV]Learning to Prune in Training via Dynamic Channel Propagation
    • [cs.CV]Multi-Label Image Recognition with Multi-Class Attentional Regions
    • [cs.CV]Multiple Expert Brainstorming for Domain Adaptive Person Re-identification
    • [cs.CV]Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding
    • [cs.CV]ODE-CNN: Omnidirectional Depth Extension Networks
    • [cs.CV]PointTrack++ for Effective Online Multi-Object Tracking and Segmentation
    • [cs.CV]RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
    • [cs.CV]Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
    • [cs.CV]Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
    • [cs.CV]Synergistic saliency and depth prediction for RGB-D saliency detection
    • [cs.CV]Task-agnostic Temporally Consistent Facial Video Editing
    • [cs.CV]Three-dimensional Human Tracking of a Mobile Robot by Fusion of Tracking Results of Two Cameras
    • [cs.CV]Video Prediction via Example Guidance
    • [cs.CV]Visual Question Answering as a Multi-Task Problem
    • [cs.CV]Weakly Supervised Temporal Action Localization with Segment-Level Labels
    • [cs.CY]Crowdfunding for Design Innovation: Prediction Model with Critical Factors
    • [cs.CY]Regulation conform DLT-operable payment adapter based on trustless - justified trust combined generalized state channels
    • [cs.CY]Users’ Concern for Privacy in Context-Aware Reasoning Systems
    • [cs.CY]WattScale: A Data-driven Approach for Energy Efficiency Analytics of Buildings at Scale
    • [cs.CY]WordPress on AWS: a Communication Framework
    • [cs.DC]Creating a content delivery network for general science on the internet backbone using XCaches
    • [cs.DC]GRANDPA: a Byzantine Finality Gadget
    • [cs.DC]Mapping Datasets to Object Storage System
    • [cs.DC]Towards an Intelligent Data Delivery Service
    • [cs.DS]Finding Densest $k$-Connected Subgraphs
    • [cs.DS]Minimizing Convex Functions with Integral Minimizers
    • [cs.GT]Learning Utilities and Equilibria in Non-Truthful Auctions
    • [cs.IR]Climbing the WOL: Training for Cheaper Inference
    • [cs.IR]Disentangled Graph Collaborative Filtering
    • [cs.IR]MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks
    • [cs.IR]Text-based Emotion Aware Recommender
    • [cs.IT]Improved bounds for noisy group testing with constant tests per item
    • [cs.IT]Joint Beam Training and Data Transmission Design for Covert Millimeter-Wave Communication
    • [cs.IT]Secure Beamforming and Ergodic Secrecy Rate Analysis for Amplify-and-Forward Relay Networks with Wireless Powered Jammer
    • [cs.LG]Adaptive Braking for Mitigating Gradient Delay
    • [cs.LG]Adaptive Graph Encoder for Attributed Graph Embedding
    • [cs.LG]CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge
    • [cs.LG]Confidence-Aware Learning for Deep Neural Networks
    • [cs.LG]Continuously Indexed Domain Adaptation
    • [cs.LG]Deep interpretability for GWAS
    • [cs.LG]Descending through a Crowded Valley — Benchmarking Deep Learning Optimizers
    • [cs.LG]Differentiable Causal Discovery from Interventional Data
    • [cs.LG]Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes
    • [cs.LG]DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction
    • [cs.LG]Expected Eligibility Traces
    • [cs.LG]Gaussian Process Regression with Local Explanation
    • [cs.LG]Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
    • [cs.LG]Hedging using reinforcement learning: Contextual $k$-Armed Bandit versus $Q$-learning
    • [cs.LG]Improved Preterm Prediction Based on Optimized Synthetic Sampling of EHG Signal
    • [cs.LG]In Search of Lost Domain Generalization
    • [cs.LG]Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
    • [cs.LG]Interpretable Sequence Classification Via Prototype Trajectory
    • [cs.LG]Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics
    • [cs.LG]MPLP: Learning a Message Passing Learning Protocol
    • [cs.LG]Mathematical Perspective of Machine Learning
    • [cs.LG]Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach
    • [cs.LG]Multi-Agent Low-Dimensional Linear Bandits
    • [cs.LG]Neumann networks: differential programming for supervised learning with missing values
    • [cs.LG]On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
    • [cs.LG]On the Similarity between the Laplace and Neural Tangent Kernels
    • [cs.LG]Online learning in MDPs with linear function approximation and bandit feedback
    • [cs.LG]Persistent Neurons
    • [cs.LG]PsychFM: Predicting your next gamble
    • [cs.LG]Scaling Graph Neural Networks with Approximate PageRank
    • [cs.LG]Self-Supervised GAN Compression
    • [cs.LG]Self-supervised Neural Architecture Search
    • [cs.LG]Team voyTECH: User Activity Modeling with Boosting Trees
    • [cs.LG]The Global Landscape of Neural Networks: An Overview
    • [cs.LG]Towards Robust Deep Learning with Ensemble Networks and Noisy Layers
    • [cs.LO]Active learning of timed automata with unobservable resets
    • [cs.LO]Logical Separability of Incomplete Data under Ontologies
    • [cs.NE]Learn Faster and Forget Slower via Fast and Stable Task Adaptation
    • [cs.NI]An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D Reconstruction
    • [cs.RO]A decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs
    • [cs.RO]AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot
    • [cs.RO]First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion
    • [cs.RO]LOL: Lidar-Only Odometry and Localization in 3D Point Cloud Maps
    • [cs.RO]Swoosh! Rattle! Thump! — Actions that Sound
    • [cs.RO]The Review Unmanned Surface Vehicle Path Planning: Based on Multi-modality Constraint
    • [cs.SE]Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study
    • [cs.SI]Mapping Flows in Bipartite Networks
    • [cs.SI]Overall Evaluations on Benefits of Influence When Disturbed by Rivals
    • [econ.GN]From Fear to Hate: How the Covid-19 Pandemic Sparks Racial Animus in the United States
    • [eess.AS]Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning
    • [eess.IV]Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset
    • [eess.IV]HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions
    • [eess.IV]Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D Computed Tomography
    • [eess.SP]Stochastic Variational Bayesian Inference for a Nonlinear Forward Model
    • [hep-ph]Variational Autoencoders for Anomalous Jet Tagging
    • [math.CO]Almost Affinely Disjoint Subspaces
    • [math.CO]New Classes of Quantum Codes Associated with Surface Maps
    • [math.OC]Local recovery bounds for prior support constrained Compressed Sensing
    • [math.OC]Multi-agent Planning for thermalling gliders using multi level graph-search
    • [math.OC]Variance reduction for Riemannian non-convex optimization with batch size adaptation
    • [math.ST]Least Squares Estimator for Vasicek Model Driven by Sub-fractional Brownian Processes from Discrete Observations
    • [math.ST]Monotonicity preservation properties of kernel regression estimators
    • [math.ST]On Second order correctness of Bootstrap in Logistic Regression
    • [math.ST]The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions
    • [physics.soc-ph]Networks with Growth and Preferential Attachment: Modeling and Applications
    • [q-bio.PE]Lack of evidence for a substantial rate of templated mutagenesis in B cell diversification
    • [q-fin.PM]A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating
    • [stat.AP]Causal Mediation Analysis for Sparse and Irregular Longitudinal Data
    • [stat.CO]Transformations in Semi-Parametric Bayesian Synthetic Likelihood
    • [stat.ME]A New ECDF Two-Sample Test Statistic
    • [stat.ME]A method to find an efficient and robust sampling strategy under model uncertainty
    • [stat.ME]BAGEL: A Bayesian Graphical Model for Inferring Drug Effect Longitudinally on Depression in People with HIV
    • [stat.ME]Developing a predictive signature for two trial endpoints using the cross-validated risk scores method
    • [stat.ME]Epidemiology of exposure to mixtures: we cant be casual about causality when using or testing methods
    • [stat.ME]New Non-parametric Tests for Multivariate Paired Data
    • [stat.ME]Non-parametric ordinal regression under a monotonicity constraint
    • [stat.ME]Unified statistical inference for a novel nonlinear dynamic functional/longitudinal data model
    • [stat.ME]When is best subset selection the “best”?
    • [stat.ML]Decoder-free Robustness Disentanglement without (Additional) Supervision
    • [stat.ML]Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
    • [stat.ML]Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks
    • [stat.ML]Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
    • [stat.ML]Qualitative Analysis of Monte Carlo Dropout
    ·····································
    • [cs.AI]A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review
    Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale
    http://arxiv.org/abs/2007.01544v1
    • [cs.AI]An Autonomous Free Airspace En-route Controller using Deep Reinforcement Learning Techniques
    Joris Mollinga, Herke van Hoof
    http://arxiv.org/abs/2007.01599v1
    • [cs.AI]Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints
    C. P. Andriotis, K. G. Papakonstantinou
    http://arxiv.org/abs/2007.01380v1
    • [cs.AI]Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
    Martin Stetter, Elmar W. Lang
    http://arxiv.org/abs/2007.01647v1
    • [cs.AI]On Symbolically Encoding the Behavior of Random Forests
    Arthur Choi, Andy Shih, Anchal Goyanka, Adnan Darwiche
    http://arxiv.org/abs/2007.01493v1
    • [cs.AI]Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games
    Jeppe Theiss Kristensen, Paolo Burelli
    http://arxiv.org/abs/2007.01542v1
    • [cs.AI]Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks
    Yuqian Jiang, Sudarshanan Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone
    http://arxiv.org/abs/2007.01498v1
    • [cs.CL]Bayesian multilingual topic model for zero-shot cross-lingual topic identification
    Santosh Kesiraju, Sangeet Sagar, Ondřej Glembek, Lukáš Burget, Suryakanth V Gangashetty
    http://arxiv.org/abs/2007.01359v1
    • [cs.CL]Exploration and Discovery of the COVID-19 Literature through Semantic Visualization
    Jingxuan Tu, Marc Verhagen, Brent Cochran, James Pustejovsky
    http://arxiv.org/abs/2007.01800v1
    • [cs.CL]Generating Informative Dialogue Responses with Keywords-Guided Networks
    Heng-Da Xu, Xian-Ling Mao, Zewen Chi, Jing-Jing Zhu, Fanshu Sun, Heyan Huang
    http://arxiv.org/abs/2007.01652v1
    • [cs.CL]Improving Event Detection using Contextual Word and Sentence Embeddings
    Mariano Maisonnave, Fernando Delbianco, Fernando Tohmé, Ana Maguitman, Evangelos Milios
    http://arxiv.org/abs/2007.01379v1
    • [cs.CL]Language-agnostic BERT Sentence Embedding
    Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, Naveen Arivazhagan, Wei Wang
    http://arxiv.org/abs/2007.01852v1
    • [cs.CL]On-The-Fly Information Retrieval Augmentation for Language Models
    Hai Wang, David McAllester
    http://arxiv.org/abs/2007.01528v1
    • [cs.CL]Playing with Words at the National Library of Sweden — Making a Swedish BERT
    Martin Malmsten, Love Börjeson, Chris Haffenden
    http://arxiv.org/abs/2007.01658v1
    • [cs.CL]Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer
    Kateřina Macková, Milan Straka
    http://arxiv.org/abs/2007.01667v1
    • [cs.CL]TICO-19: the Translation Initiative for Covid-19
    Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federman, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, Will Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur
    http://arxiv.org/abs/2007.01788v1
    • [cs.CR]A New Theoretical Framework of Pyramid Markov Processes for Blockchain Selfish Mining
    Quan-Lin Li, Yan-Xia Chang, Xiaole Wu, Guoqing Zhang
    http://arxiv.org/abs/2007.01459v1
    • [cs.CR]Online publication of court records: circumventing the privacy-transparency trade-off
    Tristan Allard, Louis Béziaud, Sébastien Gambs
    http://arxiv.org/abs/2007.01688v1
    • [cs.CR]Privacy Threats Against Federated Matrix Factorization
    Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang
    http://arxiv.org/abs/2007.01587v1
    • [cs.CV]A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
    Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu
    http://arxiv.org/abs/2007.01499v1
    • [cs.CV]A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
    Mengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang
    http://arxiv.org/abs/2007.01504v1
    • [cs.CV]Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
    Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Cheng, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao
    http://arxiv.org/abs/2007.01464v1
    • [cs.CV]Balanced Symmetric Cross Entropy for Large Scale Imbalanced and Noisy Data
    Feifei Huang, Jie Li, Xuelin Zhu
    http://arxiv.org/abs/2007.01618v1
    • [cs.CV]Collaborative Learning for Faster StyleGAN Embedding
    Shanyan Guan, Ying Tai, Bingbing Ni, Feida Zhu, Feiyue Huang, Xiaokang Yang
    http://arxiv.org/abs/2007.01758v1
    • [cs.CV]Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach
    Jefferson Antonio Ribeiro Passerini, Fabricio Aparecido Breve
    http://arxiv.org/abs/2007.01625v1
    • [cs.CV]Deep Fence Estimation using Stereo Guidance and Adversarial Learning
    Paritosh Mittal, Shankar M Venkatesan, Viswanath Veera, Aloknath De
    http://arxiv.org/abs/2007.01724v1
    • [cs.CV]Deep learning for scene recognition from visual data: a survey
    Alina Matei, Andreea Glavan, Estefania Talavera
    http://arxiv.org/abs/2007.01806v1
    • [cs.CV]Domain Adaptation without Source Data
    Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda
    http://arxiv.org/abs/2007.01524v1
    • [cs.CV]Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
    Zhenwei He, Lei Zhang
    http://arxiv.org/abs/2007.01571v1
    • [cs.CV]End-to-end Interpretable Learning of Non-blind Image Deblurring
    Thomas Eboli, Jian Sun, Jean Ponce
    http://arxiv.org/abs/2007.01769v1
    • [cs.CV]Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
    Swaroop Bhandary K, Nico Hochgeschwender, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro
    http://arxiv.org/abs/2007.01787v1
    • [cs.CV]Explainable Deep One-Class Classification
    Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
    http://arxiv.org/abs/2007.01760v1
    • [cs.CV]Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations
    Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
    http://arxiv.org/abs/2007.01496v1
    • [cs.CV]Ground Truth Free Denoising by Optimal Transport
    Sören Dittmer, Carola-Bibiane Schönlieb, Peter Maass
    http://arxiv.org/abs/2007.01575v1
    • [cs.CV]Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking
    Quang Truong, Hy Dang, Zhankai Ye, Minh Nguyen, Bo Mei
    http://arxiv.org/abs/2007.01818v1
    • [cs.CV]Improving auto-encoder novelty detection using channel attention and entropy minimization
    Dongyan Guo, Miao Tian, Ying Cui, Xiang Pan, Shengyong Chen
    http://arxiv.org/abs/2007.01682v1
    • [cs.CV]Interactive Knowledge Distillation
    Shipeng Fu, Zhen Li, Jun Xu, Ming-Ming Cheng, Gwanggil Jeon, Xiaomin Yang
    http://arxiv.org/abs/2007.01476v1
    • [cs.CV]Joint Frequency- and Image-Space Learning for Fourier Imaging
    Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland
    http://arxiv.org/abs/2007.01441v1
    • [cs.CV]LOOC: Localize Overlapping Objects with Count Supervision
    Issam H. Laradji, Rafael Pardinas, Pau Rodriguez, David Vazquez
    http://arxiv.org/abs/2007.01837v1
    • [cs.CV]Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
    Bin-Bin Gao, Xin-Xin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng
    http://arxiv.org/abs/2007.01771v1
    • [cs.CV]Learning Orientation Distributions for Object Pose Estimation
    Brian Okorn, Mengyun Xu, Martial Hebert, David Held
    http://arxiv.org/abs/2007.01418v1
    • [cs.CV]Learning to Prune in Training via Dynamic Channel Propagation
    Shibo Shen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, Yugeng Zhou
    http://arxiv.org/abs/2007.01486v1
    • [cs.CV]Multi-Label Image Recognition with Multi-Class Attentional Regions
    Bin-Bin Gao, Hong-Yu Zhou
    http://arxiv.org/abs/2007.01755v1
    • [cs.CV]Multiple Expert Brainstorming for Domain Adaptive Person Re-identification
    Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian
    http://arxiv.org/abs/2007.01546v1
    • [cs.CV]Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding
    Ammar Mansoor Kamoona, Amirali Khodadadian Gosta, Alireza Bab-Hadiashar, Reza Hoseinnezhad
    http://arxiv.org/abs/2007.01548v1
    • [cs.CV]ODE-CNN: Omnidirectional Depth Extension Networks
    Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang
    http://arxiv.org/abs/2007.01475v1
    • [cs.CV]PointTrack++ for Effective Online Multi-Object Tracking and Segmentation
    Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Xiangbo Su, Yuchen Yuan, Hongwu Zhang, Shilei Wen, Errui Ding, Liusheng Huang
    http://arxiv.org/abs/2007.01549v1
    • [cs.CV]RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
    Chih-Hsing Ho, Shang-Ho, Tsai
    http://arxiv.org/abs/2007.01480v1
    • [cs.CV]Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
    Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang
    http://arxiv.org/abs/2007.01550v1
    • [cs.CV]Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
    Bin Wang, Bing Xue, Mengjie Zhang
    http://arxiv.org/abs/2007.01556v1
    • [cs.CV]Synergistic saliency and depth prediction for RGB-D saliency detection
    Yue Wang, Yuke Li, James H Elder, Huchuan Lu, Runmin Wu
    http://arxiv.org/abs/2007.01711v1
    • [cs.CV]Task-agnostic Temporally Consistent Facial Video Editing
    Meng Cao, Haozhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo
    http://arxiv.org/abs/2007.01466v1
    • [cs.CV]Three-dimensional Human Tracking of a Mobile Robot by Fusion of Tracking Results of Two Cameras
    Shinya Matsubara, Akihiko Honda, Yonghoon Ji, Kazunori Umeda
    http://arxiv.org/abs/2007.01514v1
    • [cs.CV]Video Prediction via Example Guidance
    Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell
    http://arxiv.org/abs/2007.01738v1
    • [cs.CV]Visual Question Answering as a Multi-Task Problem
    Amelia Elizabeth Pollard, Jonathan L. Shapiro
    http://arxiv.org/abs/2007.01780v1
    • [cs.CV]Weakly Supervised Temporal Action Localization with Segment-Level Labels
    Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang, Tongliang Liu
    http://arxiv.org/abs/2007.01598v1
    • [cs.CY]Crowdfunding for Design Innovation: Prediction Model with Critical Factors
    Chaoyang Song, Jianxi Luo, Katja Hölttä-Otto, Warren Seering, Kevin Otto
    http://arxiv.org/abs/2007.01404v1
    • [cs.CY]Regulation conform DLT-operable payment adapter based on trustless - justified trust combined generalized state channels
    Ricky Lamberty, Alexander Poddey
    http://arxiv.org/abs/2007.01605v1
    • [cs.CY]Users’ Concern for Privacy in Context-Aware Reasoning Systems
    Matthias Forstmann, Alberto Giaretta, Jennifer Renoux
    http://arxiv.org/abs/2007.01561v1
    • [cs.CY]WattScale: A Data-driven Approach for Energy Efficiency Analytics of Buildings at Scale
    Srinivasan Iyengar, Stephen Lee, David Irwin, Prashant Shenoy, Benjamin Weil
    http://arxiv.org/abs/2007.01382v1
    • [cs.CY]WordPress on AWS: a Communication Framework
    Michael Soltys, Katharine Soltys
    http://arxiv.org/abs/2007.01823v1
    • [cs.DC]Creating a content delivery network for general science on the internet backbone using XCaches
    Edgar Fajardo, Marian Zvada, Derek Weitzel, Mats Rynge, John Hicks, Mat Selmeci, Brian Lin, Pascal Paschos, Brian Bockelman, Igor Sfiligoi, Andrew Hanushevsky, Frank Würthwein
    http://arxiv.org/abs/2007.01408v1
    • [cs.DC]GRANDPA: a Byzantine Finality Gadget
    Alistair Stewart, Eleftherios Kokoris-Kogia
    http://arxiv.org/abs/2007.01560v1
    • [cs.DC]Mapping Datasets to Object Storage System
    Xiaowei, Chu, Jeff LeFevre, Aldrin Montana, Dana Robinson, Quincey Koziol, Peter Alvaro, Carlos Maltzahn
    http://arxiv.org/abs/2007.01789v1
    • [cs.DC]Towards an Intelligent Data Delivery Service
    Wen Guan, Tadashi Maeno, Gancho Dimitrov, Brian Paul Bockelman, Torre Wenaus, Vakhtang Tsulaia, Nicolo Magini
    http://arxiv.org/abs/2007.01791v1
    • [cs.DS]Finding Densest $k$-Connected Subgraphs
    Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis
    http://arxiv.org/abs/2007.01533v1
    • [cs.DS]Minimizing Convex Functions with Integral Minimizers
    Haotian Jiang
    http://arxiv.org/abs/2007.01445v1
    • [cs.GT]Learning Utilities and Equilibria in Non-Truthful Auctions
    Hu Fu, Tao Lin
    http://arxiv.org/abs/2007.01722v1
    • [cs.IR]Climbing the WOL: Training for Cheaper Inference
    Zichang Liu, Zhaozhuo Xu, Alan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava
    http://arxiv.org/abs/2007.01230v2
    • [cs.IR]Disentangled Graph Collaborative Filtering
    Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua
    http://arxiv.org/abs/2007.01764v1
    • [cs.IR]MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks
    Yusi Zhang, Chuanjie Liu, Angen Luo, Hui Xue, Xuan Shan, Yuxiang Luo, Yiqian Xia, Yuanchi Yan, Haidong Wang
    http://arxiv.org/abs/2007.01510v1
    • [cs.IR]Text-based Emotion Aware Recommender
    John Kalung Leung, Igor Griva, William G. Kennedy
    http://arxiv.org/abs/2007.01455v1
    • [cs.IT]Improved bounds for noisy group testing with constant tests per item
    Oliver Gebhard, Oliver Johnson, Philipp Loick, Maurice Rolvien
    http://arxiv.org/abs/2007.01376v1
    • [cs.IT]Joint Beam Training and Data Transmission Design for Covert Millimeter-Wave Communication
    Jiayu Zhang, Min Li, Shihao Yan, Chunshan Liu, Xihan Chen, Minjian Zhao, Philip Whiting
    http://arxiv.org/abs/2007.01513v1
    • [cs.IT]Secure Beamforming and Ergodic Secrecy Rate Analysis for Amplify-and-Forward Relay Networks with Wireless Powered Jammer
    Omer Waqar, Hina Tabassum, Raviraj Adve
    http://arxiv.org/abs/2007.01391v1
    • [cs.LG]Adaptive Braking for Mitigating Gradient Delay
    Abhinav Venigalla, Atli Kosson, Vitaliy Chiley, Urs Köster
    http://arxiv.org/abs/2007.01397v1
    • [cs.LG]Adaptive Graph Encoder for Attributed Graph Embedding
    Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu
    http://arxiv.org/abs/2007.01594v1
    • [cs.LG]CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge
    Yihao Fang, Shervin Manzuri Shalmani, Rong Zheng
    http://arxiv.org/abs/2007.01793v1
    • [cs.LG]Confidence-Aware Learning for Deep Neural Networks
    Jooyoung Moon, Jihyo Kim, Younghak Shin, Sangheum Hwang
    http://arxiv.org/abs/2007.01458v1
    • [cs.LG]Continuously Indexed Domain Adaptation
    Hao Wang, Hao He, Dina Katabi
    http://arxiv.org/abs/2007.01807v1
    • [cs.LG]Deep interpretability for GWAS
    Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé, Joelle Pineau
    http://arxiv.org/abs/2007.01516v1
    • [cs.LG]Descending through a Crowded Valley — Benchmarking Deep Learning Optimizers
    Robin M. Schmidt, Frank Schneider, Philipp Hennig
    http://arxiv.org/abs/2007.01547v1
    • [cs.LG]Differentiable Causal Discovery from Interventional Data
    Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin
    http://arxiv.org/abs/2007.01754v1
    • [cs.LG]Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes
    Yasmeen M. George, Suman Sedai, Bhavna J. Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi
    http://arxiv.org/abs/2007.01522v1
    • [cs.LG]DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction
    Soheil Sadeghi Eshkevari, Martin Takáč, Shamim N. Pakzad, Majid Jahani
    http://arxiv.org/abs/2007.01814v1
    • [cs.LG]Expected Eligibility Traces
    Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa
    http://arxiv.org/abs/2007.01839v1
    • [cs.LG]Gaussian Process Regression with Local Explanation
    Yuya Yoshikawa, Tomoharu Iwata
    http://arxiv.org/abs/2007.01669v1
    • [cs.LG]Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
    Anis Elgabli, Jihong Park, Chaouki Ben Issaid, Mehdi Bennis
    http://arxiv.org/abs/2007.01790v1
    • [cs.LG]Hedging using reinforcement learning: Contextual $k$-Armed Bandit versus $Q$-learning
    Loris Cannelli, Giuseppe Nuti, Marzio Sala, Oleg Szehr
    http://arxiv.org/abs/2007.01623v1
    • [cs.LG]Improved Preterm Prediction Based on Optimized Synthetic Sampling of EHG Signal
    Jinshan Xu, Zhenqin Chen, Yanpei Lu, Xi Yang, Alain Pumir
    http://arxiv.org/abs/2007.01447v1
    • [cs.LG]In Search of Lost Domain Generalization
    Ishaan Gulrajani, David Lopez-Paz
    http://arxiv.org/abs/2007.01434v1
    • [cs.LG]Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
    Zhihui Shao, Jianyi Yang, Shaolei Ren
    http://arxiv.org/abs/2007.01472v1
    • [cs.LG]Interpretable Sequence Classification Via Prototype Trajectory
    Dat Hong, Stephen S. Baek, Tong Wang
    http://arxiv.org/abs/2007.01777v1
    • [cs.LG]Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics
    Jie Bu, Mohannad Elhamod, Christopher Singh, Matthew Redell, Wei-Cheng Lee, Anuj Karpatne
    http://arxiv.org/abs/2007.01420v1
    • [cs.LG]MPLP: Learning a Message Passing Learning Protocol
    Ettore Randazzo, Eyvind Niklasson, Alexander Mordvintsev
    http://arxiv.org/abs/2007.00970v2
    • [cs.LG]Mathematical Perspective of Machine Learning
    Yarema Boryshchak
    http://arxiv.org/abs/2007.01503v1
    • [cs.LG]Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach
    M. Maruf, Anuj Karpatne
    http://arxiv.org/abs/2007.01423v1
    • [cs.LG]Multi-Agent Low-Dimensional Linear Bandits
    Ronshee Chawla, Abishek Sankararaman, Sanjay Shakkottai
    http://arxiv.org/abs/2007.01442v1
    • [cs.LG]Neumann networks: differential programming for supervised learning with missing values
    Marine Le Morvan, Julie Josse, Thomas Moreau, Erwan Scornet, Gaël Varoquaux
    http://arxiv.org/abs/2007.01627v1
    • [cs.LG]On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
    Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
    http://arxiv.org/abs/2007.01488v1
    • [cs.LG]On the Similarity between the Laplace and Neural Tangent Kernels
    Amnon Geifman, Abhay Yadav, Yoni Kasten, Meirav Galun, David Jacobs, Ronen Basri
    http://arxiv.org/abs/2007.01580v1
    • [cs.LG]Online learning in MDPs with linear function approximation and bandit feedback
    Gergely Neu, Julia Olkhovskaya
    http://arxiv.org/abs/2007.01612v1
    • [cs.LG]Persistent Neurons
    Yimeng Min
    http://arxiv.org/abs/2007.01419v1
    • [cs.LG]PsychFM: Predicting your next gamble
    Prakash Rajan, Krishna P. Miyapuram
    http://arxiv.org/abs/2007.01833v1
    • [cs.LG]Scaling Graph Neural Networks with Approximate PageRank
    Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
    http://arxiv.org/abs/2007.01570v1
    • [cs.LG]Self-Supervised GAN Compression
    Chong Yu, Jeff Pool
    http://arxiv.org/abs/2007.01491v1
    • [cs.LG]Self-supervised Neural Architecture Search
    Sapir Kaplan, Raja Giryes
    http://arxiv.org/abs/2007.01500v1
    • [cs.LG]Team voyTECH: User Activity Modeling with Boosting Trees
    Immanuel Bayer, Anastasios Zouzias
    http://arxiv.org/abs/2007.01620v1
    • [cs.LG]The Global Landscape of Neural Networks: An Overview
    Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, R Srikant
    http://arxiv.org/abs/2007.01429v1
    • [cs.LG]Towards Robust Deep Learning with Ensemble Networks and Noisy Layers
    Yuting Liang, Reza Samavi
    http://arxiv.org/abs/2007.01507v1
    • [cs.LO]Active learning of timed automata with unobservable resets
    Léo Henry, Nicolas Markey, Thierry Jéron
    http://arxiv.org/abs/2007.01637v1
    • [cs.LO]Logical Separability of Incomplete Data under Ontologies
    Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter
    http://arxiv.org/abs/2007.01610v1
    • [cs.NE]Learn Faster and Forget Slower via Fast and Stable Task Adaptation
    Farshid Varno, Lucas May Petry, Lisa Di Jorio, Stan Matwin
    http://arxiv.org/abs/2007.01388v1
    • [cs.NI]An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D Reconstruction
    Shuai Yu, Xu Chen, Shuai Wang, Lingjun Pu, Di Wu
    http://arxiv.org/abs/2007.01562v1
    • [cs.RO]A decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs
    Jiarong Lin, Xiyuan Liu, Fu Zhang
    http://arxiv.org/abs/2007.01483v1
    • [cs.RO]AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot
    Tong Qin, Tongqing Chen, Yilun Chen, Qing Su
    http://arxiv.org/abs/2007.01813v1
    • [cs.RO]First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion
    Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones, David Surovik, Ioannis Havoutis, Ingmar Posner
    http://arxiv.org/abs/2007.01520v1
    • [cs.RO]LOL: Lidar-Only Odometry and Localization in 3D Point Cloud Maps
    David Rozenberszki, Andras Majdik
    http://arxiv.org/abs/2007.01595v1
    • [cs.RO]Swoosh! Rattle! Thump! — Actions that Sound
    Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto
    http://arxiv.org/abs/2007.01851v1
    • [cs.RO]The Review Unmanned Surface Vehicle Path Planning: Based on Multi-modality Constraint
    Chunhui Zhou, Shangding Gu, Yuanqiao Wen, Zhe Du, Changshi Xiao, Liang Huang, Man Zhu
    http://arxiv.org/abs/2007.01691v1
    • [cs.SE]Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study
    Halcyon D. P. Carvalho, Marília N. C. A. Lima, Wylliams B. Santos, Roberta A. de A. Fagunde
    http://arxiv.org/abs/2007.01719v1
    • [cs.SI]Mapping Flows in Bipartite Networks
    Christopher Blöcker, Martin Rosvall
    http://arxiv.org/abs/2007.01666v1
    • [cs.SI]Overall Evaluations on Benefits of Influence When Disturbed by Rivals
    Jianxiong Guo, Yapu Zhang, Weili Wu
    http://arxiv.org/abs/2007.01519v1
    • [econ.GN]From Fear to Hate: How the Covid-19 Pandemic Sparks Racial Animus in the United States
    Runjing Lu, Yanying Sheng
    http://arxiv.org/abs/2007.01448v1
    • [eess.AS]Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning
    Pavel Denisov, Ngoc Thang Vu
    http://arxiv.org/abs/2007.01836v1
    • [eess.IV]Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset
    Sören Dittmer, Tobias Kluth, Mads Thorstein Roar Henriksen, Peter Maass
    http://arxiv.org/abs/2007.01593v1
    • [eess.IV]HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions
    Yuzhen Niu, Jianbin Wu, Wenxi Liu, Wenzhong Guo, Rynson W. H. Lau
    http://arxiv.org/abs/2007.01628v1
    • [eess.IV]Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D Computed Tomography
    Marinus J. Lagerwerf, Allard A. Hendriksen, Jan-Willem Buurlage, K. Joost Batenburg
    http://arxiv.org/abs/2007.01636v1
    • [eess.SP]Stochastic Variational Bayesian Inference for a Nonlinear Forward Model
    Michael A. Chappell, Martin S. Craig, Mark W. Woolrich
    http://arxiv.org/abs/2007.01675v1
    • [hep-ph]Variational Autoencoders for Anomalous Jet Tagging
    Taoli Cheng, Jean-François Arguin, Julien Leissner-Martin, Jacinthe Pilette, Tobias Golling
    http://arxiv.org/abs/2007.01850v1
    • [math.CO]Almost Affinely Disjoint Subspaces
    Hedongliang Liu, Nikita Polyanskii, Ilya Vorobyev, Antonia Wachter-Zeh
    http://arxiv.org/abs/2007.01792v1
    • [math.CO]New Classes of Quantum Codes Associated with Surface Maps
    Debashis Bhowmik, Dipendu Maity, Bhanu Pratap Yadav, Ashish Kumar Upadhyay
    http://arxiv.org/abs/2007.01684v1
    • [math.OC]Local recovery bounds for prior support constrained Compressed Sensing
    K. Z. Najiya, Munnu Sonkar, C. S. Sastry
    http://arxiv.org/abs/2007.01082v1
    • [math.OC]Multi-agent Planning for thermalling gliders using multi level graph-search
    Muhammad Aneeq uz Zaman, Aamer Iqbal Bhatti
    http://arxiv.org/abs/2007.01334v1
    • [math.OC]Variance reduction for Riemannian non-convex optimization with batch size adaptation
    Andi Han, Junbin Gao
    http://arxiv.org/abs/2007.01494v1
    • [math.ST]Least Squares Estimator for Vasicek Model Driven by Sub-fractional Brownian Processes from Discrete Observations
    Cuiyun Zhang, Jingjun Guo, Aiqin Ma, Bo Peng
    http://arxiv.org/abs/2007.01460v1
    • [math.ST]Monotonicity preservation properties of kernel regression estimators
    Iosif Pinelis
    http://arxiv.org/abs/2007.01757v1
    • [math.ST]On Second order correctness of Bootstrap in Logistic Regression
    Debraj Das, Priyam Das
    http://arxiv.org/abs/2007.01615v1
    • [math.ST]The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions
    Hua Wang, Yachong Yang, Weijie J. Su
    http://arxiv.org/abs/2007.00566v2
    • [physics.soc-ph]Networks with Growth and Preferential Attachment: Modeling and Applications
    Gabriel G. Piva, Fabiano L. Ribeiro, Angelica S. Mata
    http://arxiv.org/abs/2007.01349v1
    • [q-bio.PE]Lack of evidence for a substantial rate of templated mutagenesis in B cell diversification
    Julia Fukuyama, Branden J Olson, Frederick A Matsen IV
    http://arxiv.org/abs/2007.01340v1
    • [q-fin.PM]A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating
    Sotirios Sabanis, Ying Zhang
    http://arxiv.org/abs/2007.01672v1
    • [stat.AP]Causal Mediation Analysis for Sparse and Irregular Longitudinal Data
    Shuxi Zeng, Stacy Rosenbaum, Elizabeth Archie, Susan Alberts, Fan Li
    http://arxiv.org/abs/2007.01796v1
    • [stat.CO]Transformations in Semi-Parametric Bayesian Synthetic Likelihood
    Jacob W. Priddle, Christopher Drovandi
    http://arxiv.org/abs/2007.01485v1
    • [stat.ME]A New ECDF Two-Sample Test Statistic
    Connor Dowd
    http://arxiv.org/abs/2007.01360v1
    • [stat.ME]A method to find an efficient and robust sampling strategy under model uncertainty
    Edgar Bueno, Dan Hedlin
    http://arxiv.org/abs/2007.01539v1
    • [stat.ME]BAGEL: A Bayesian Graphical Model for Inferring Drug Effect Longitudinally on Depression in People with HIV
    Yuliang Li, Yang Ni, Leah H. Rubin, Amanda B. Spence, Yanxun Xu
    http://arxiv.org/abs/2007.01484v1
    • [stat.ME]Developing a predictive signature for two trial endpoints using the cross-validated risk scores method
    Svetlana Cherlin, James M. S. Wason
    http://arxiv.org/abs/2007.01680v1
    • [stat.ME]Epidemiology of exposure to mixtures: we cant be casual about causality when using or testing methods
    Thomas F. Webster, Marc G. Weisskopf
    http://arxiv.org/abs/2007.01370v1
    • [stat.ME]New Non-parametric Tests for Multivariate Paired Data
    Jingru Zhang, Hao Chen, Xiao-Hua Zhou
    http://arxiv.org/abs/2007.01497v1
    • [stat.ME]Non-parametric ordinal regression under a monotonicity constraint
    Olli Saarela, Christian Rohrbeck, Elja Arjas
    http://arxiv.org/abs/2007.01390v1
    • [stat.ME]Unified statistical inference for a novel nonlinear dynamic functional/longitudinal data model
    Lixia Hu, Tao Huang, Jinhong You
    http://arxiv.org/abs/2007.01784v1
    • [stat.ME]When is best subset selection the “best”?
    Jianqing Fan, Yongyi Guo, Ziwei Zhu
    http://arxiv.org/abs/2007.01478v1
    • [stat.ML]Decoder-free Robustness Disentanglement without (Additional) Supervision
    Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang
    http://arxiv.org/abs/2007.01356v1
    • [stat.ML]Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
    Takahiro Mimori, Keiko Sasada, Hirotaka Matsui, Issei Sato
    http://arxiv.org/abs/2007.01659v1
    • [stat.ML]Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks
    Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang
    http://arxiv.org/abs/2007.01452v1
    • [stat.ML]Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
    Muhammad Osama, Dave Zachariah, Petre Stoica
    http://arxiv.org/abs/2007.01592v1
    • [stat.ML]Qualitative Analysis of Monte Carlo Dropout
    Ronald Seoh
    http://arxiv.org/abs/2007.01720v1